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The Imperfect Measure of Internally Plural Events

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Logic, Language, and Computation (TbiLLC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6618))

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Abstract

This paper discusses event-internal pluractional verbs, i.e. morphologically complex verbs that denote events constituted by pluralities of phases, under the hypothesis that they describe non-canonical events. Non-canonicity is understood in comparative terms with respect to the description of the events provided by the corresponding simplex verb forms; It is modelled via the modification of a measure of the event or of a participant in the event. The diminutive and augmentative types of event-internal pluractionality reported in the literature are made to correspond to the two possible ways in which the measures taken on phases, relatively to different dimensions, are put together to provide the measure of the whole event.

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Author information

Authors and Affiliations

  1. University Paris 7, France

    Lucia M. Tovena

Authors
  1. Lucia M. Tovena
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Editors and Affiliations

  1. Department of Computing, Imperial College London, 180 Queen’s Gate, SW7 2AZ, London, UK

    Nick Bezhanishvili

  2. Institute of Language and Information, Department of General Linguistics, Heinrich-Heine-University, Universitätsstraße 1, 40225, Düsseldorf, Germany

    Sebastian Löbner

  3. Zentrum für Allgemeine Sprachwissenschaft, Schützenstraße 18, 10117, Berlin, Germany

    Kerstin Schwabe

  4. Dipartimento di Matematica, via Ponte don Melillo, 84084, Fisciano, (SA), Italy

    Luca Spada

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Tovena, L.M. (2011). The Imperfect Measure of Internally Plural Events. In: Bezhanishvili, N., Löbner, S., Schwabe, K., Spada, L. (eds) Logic, Language, and Computation. TbiLLC 2009. Lecture Notes in Computer Science(), vol 6618. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22303-7_20

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  • DOI: https://doi.org/10.1007/978-3-642-22303-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22302-0

  • Online ISBN: 978-3-642-22303-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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